Generally, my research intersects between the area of Human-Computer Interaction (HCI) and Machine Learning (ML). In particular, I investigate how ML can be used to enhance and create new and novel interaction techniques in devices such as wearables, smartphones and tablets. In the past, I investigated an interaction technique that uses back area/side of the device to sense and model users’ grip patterns to enhance touchscreen touch target, user identification and detect cognitive errors.
I am currently working with my PhD student to investigate computer vision (CV) techniques to estimate tree species from high-resolution canopy UAV imagery. Besides ML, I also work in a number of classic HCI areas such as interactive interaction particularly on touch gestures and usability testing.